Control mechanism modeling of human cardiovascular-respiratory system

Sandeep Gutta, Qi Cheng, Bruce Benjamin

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

Mathematical modeling of human cardiovascular and respiratory systems plays an important role in providing accurate diagnostic information about the cardiovascular-respiratory diseases. The mechanisms of the cardiovascular and respiratory systems are highly interconnected with each other. We study the control mechanism of the cardiovascular-respiratory system during the transition from awake state to stage 4 non-REM sleep state. A discrete-time cardiovascular-respiratory system model with transport delays is adopted. The system model is nonlinear and described by a set of higher order difference equations. We convert the system into a set of first-order difference equations and propose an iterative algorithm to find the optimal control inputs that drive the cardiovascular-respiratory system from awake state to sleep state. In each iteration, the system is linearized using the state and input sequences from the previous iteration. Simulations are conducted to demonstrate the effectiveness of the proposed method. The simulation results are validated using real data collected from a healthy subject.

Original languageEnglish
Title of host publication2015 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages918-922
Number of pages5
ISBN (Electronic)9781479975914
DOIs
StatePublished - 23 Feb 2016
EventIEEE Global Conference on Signal and Information Processing, GlobalSIP 2015 - Orlando, United States
Duration: 13 Dec 201516 Dec 2015

Publication series

Name2015 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2015

Other

OtherIEEE Global Conference on Signal and Information Processing, GlobalSIP 2015
CountryUnited States
CityOrlando
Period13/12/1516/12/15

Fingerprint

Respiratory system
Cardiovascular system
Difference equations
Pulmonary diseases
Computer systems

Keywords

  • Cardiovascular system
  • nonlinear system
  • optimal control
  • respiratory system

Cite this

Gutta, S., Cheng, Q., & Benjamin, B. (2016). Control mechanism modeling of human cardiovascular-respiratory system. In 2015 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2015 (pp. 918-922). [7418331] (2015 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2015). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/GlobalSIP.2015.7418331
Gutta, Sandeep ; Cheng, Qi ; Benjamin, Bruce. / Control mechanism modeling of human cardiovascular-respiratory system. 2015 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2015. Institute of Electrical and Electronics Engineers Inc., 2016. pp. 918-922 (2015 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2015).
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abstract = "Mathematical modeling of human cardiovascular and respiratory systems plays an important role in providing accurate diagnostic information about the cardiovascular-respiratory diseases. The mechanisms of the cardiovascular and respiratory systems are highly interconnected with each other. We study the control mechanism of the cardiovascular-respiratory system during the transition from awake state to stage 4 non-REM sleep state. A discrete-time cardiovascular-respiratory system model with transport delays is adopted. The system model is nonlinear and described by a set of higher order difference equations. We convert the system into a set of first-order difference equations and propose an iterative algorithm to find the optimal control inputs that drive the cardiovascular-respiratory system from awake state to sleep state. In each iteration, the system is linearized using the state and input sequences from the previous iteration. Simulations are conducted to demonstrate the effectiveness of the proposed method. The simulation results are validated using real data collected from a healthy subject.",
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Gutta, S, Cheng, Q & Benjamin, B 2016, Control mechanism modeling of human cardiovascular-respiratory system. in 2015 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2015., 7418331, 2015 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2015, Institute of Electrical and Electronics Engineers Inc., pp. 918-922, IEEE Global Conference on Signal and Information Processing, GlobalSIP 2015, Orlando, United States, 13/12/15. https://doi.org/10.1109/GlobalSIP.2015.7418331

Control mechanism modeling of human cardiovascular-respiratory system. / Gutta, Sandeep; Cheng, Qi; Benjamin, Bruce.

2015 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2015. Institute of Electrical and Electronics Engineers Inc., 2016. p. 918-922 7418331 (2015 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2015).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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N2 - Mathematical modeling of human cardiovascular and respiratory systems plays an important role in providing accurate diagnostic information about the cardiovascular-respiratory diseases. The mechanisms of the cardiovascular and respiratory systems are highly interconnected with each other. We study the control mechanism of the cardiovascular-respiratory system during the transition from awake state to stage 4 non-REM sleep state. A discrete-time cardiovascular-respiratory system model with transport delays is adopted. The system model is nonlinear and described by a set of higher order difference equations. We convert the system into a set of first-order difference equations and propose an iterative algorithm to find the optimal control inputs that drive the cardiovascular-respiratory system from awake state to sleep state. In each iteration, the system is linearized using the state and input sequences from the previous iteration. Simulations are conducted to demonstrate the effectiveness of the proposed method. The simulation results are validated using real data collected from a healthy subject.

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Gutta S, Cheng Q, Benjamin B. Control mechanism modeling of human cardiovascular-respiratory system. In 2015 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2015. Institute of Electrical and Electronics Engineers Inc. 2016. p. 918-922. 7418331. (2015 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2015). https://doi.org/10.1109/GlobalSIP.2015.7418331